Toward Mobile Web 2.0-based business methods: Collaborative QoS-information sharing for mobile service users

K.E. Wac; Richard G.A. Bults; Bernhard J.F. van Beijnum; Hong Chen; D. Konstantas

Toward Mobile Web 2.0-based business methods: Collaborative QoS-information sharing for mobile service users

K.E. Wac, Richard G.A. Bults, Bernhard J.F. van Beijnum, Hong Chen, D. Konstantas

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic

4 Citations (Scopus)

1 Downloads (Pure)

Abstract

Mobile service providers (MoSPs) emerge, driven by the ubiquitous availability of mobile devices and wireless communication infrastructures. MoSPs’ customers satisfaction and consequently their revenues, largely depend on the quality of service (QoS) provided by wireless network providers (WNPs) available at a particular location-time to support a mobile service delivery. This chapter presents a novel method for the MoSP’s QoS-assurance business process. The method incorporates a location- and time-based QoS-predictions’ service, facilitating the WNP’s selection. We explore different business cases for the service deployment. Particularly, we introduce and analyze business viability of QoSIS.net, an enterprise that can provide the QoS-predictions service to MoSPs, Mobile Network Operators (as MoSPs), or directly to their customers (i.e. in B2B/B2C settings). QoSIS.net provides its service based on collaborative-sharing of QoS-information by its users. We argue that this service can improve the MoSP’s QoS-assurance process and consequently may increase its revenues, while creating revenues for QoSIS.net.

Original language	Undefined
Title of host publication	Mobile and Ubiquitous Commerce
Editors	M. Head, Eldon Li
Place of Publication	UK
Publisher	Information Science Reference
Pages	60-81
Number of pages	22
ISBN (Print)	978-1-60566-366-1
Publication status	Published - 1 May 2009

Publication series

Name	Advanced E-Business Methods
Publisher	Information Science Reference
Number	4
Volume	4

Keywords

IR-68143
EWI-16126
METIS-264056

Access to Document

Cite this

Wac, K. E., Bults, R. G. A., van Beijnum, B. J. F., Chen, H., & Konstantas, D. (2009). Toward Mobile Web 2.0-based business methods: Collaborative QoS-information sharing for mobile service users. In M. Head, & E. Li (Eds.), Mobile and Ubiquitous Commerce (pp. 60-81). (Advanced E-Business Methods; Vol. 4, No. 4). Information Science Reference. http://eprints.eemcs.utwente.nl/secure2/16126/01/Wac,_et_al.,_Toward_Mobile_Web_2.0-based_Business_Methods.pdf

@inbook{3a2d44beb20e45959cc6be69f34d7fe5,

title = "Toward Mobile Web 2.0-based business methods: Collaborative QoS-information sharing for mobile service users",

abstract = "Mobile service providers (MoSPs) emerge, driven by the ubiquitous availability of mobile devices and wireless communication infrastructures. MoSPs{\textquoteright} customers satisfaction and consequently their revenues, largely depend on the quality of service (QoS) provided by wireless network providers (WNPs) available at a particular location-time to support a mobile service delivery. This chapter presents a novel method for the MoSP{\textquoteright}s QoS-assurance business process. The method incorporates a location- and time-based QoS-predictions{\textquoteright} service, facilitating the WNP{\textquoteright}s selection. We explore different business cases for the service deployment. Particularly, we introduce and analyze business viability of QoSIS.net, an enterprise that can provide the QoS-predictions service to MoSPs, Mobile Network Operators (as MoSPs), or directly to their customers (i.e. in B2B/B2C settings). QoSIS.net provides its service based on collaborative-sharing of QoS-information by its users. We argue that this service can improve the MoSP{\textquoteright}s QoS-assurance process and consequently may increase its revenues, while creating revenues for QoSIS.net.",

keywords = "IR-68143, EWI-16126, METIS-264056",

author = "K.E. Wac and Bults, {Richard G.A.} and {van Beijnum}, {Bernhard J.F.} and Hong Chen and D. Konstantas",

note = "eemcs-eprint-16126 ",

year = "2009",

month = may,

day = "1",

language = "Undefined",

isbn = "978-1-60566-366-1",

series = "Advanced E-Business Methods",

publisher = "Information Science Reference",

number = "4",

pages = "60--81",

editor = "M. Head and Eldon Li",

booktitle = "Mobile and Ubiquitous Commerce",

}

Wac, KE, Bults, RGA , van Beijnum, BJF, Chen, H & Konstantas, D 2009, Toward Mobile Web 2.0-based business methods: Collaborative QoS-information sharing for mobile service users. in M Head & E Li (eds), Mobile and Ubiquitous Commerce. Advanced E-Business Methods, no. 4, vol. 4, Information Science Reference, UK, pp. 60-81. <http://eprints.eemcs.utwente.nl/secure2/16126/01/Wac,_et_al.,_Toward_Mobile_Web_2.0-based_Business_Methods.pdf>

Toward Mobile Web 2.0-based business methods: Collaborative QoS-information sharing for mobile service users. / Wac, K.E.; Bults, Richard G.A.; van Beijnum, Bernhard J.F. et al.
Mobile and Ubiquitous Commerce. ed. / M. Head; Eldon Li. UK: Information Science Reference, 2009. p. 60-81 (Advanced E-Business Methods; Vol. 4, No. 4).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic

TY - CHAP

T1 - Toward Mobile Web 2.0-based business methods: Collaborative QoS-information sharing for mobile service users

AU - Wac, K.E.

AU - Bults, Richard G.A.

AU - van Beijnum, Bernhard J.F.

AU - Chen, Hong

AU - Konstantas, D.

N1 - eemcs-eprint-16126

PY - 2009/5/1

Y1 - 2009/5/1

N2 - Mobile service providers (MoSPs) emerge, driven by the ubiquitous availability of mobile devices and wireless communication infrastructures. MoSPs’ customers satisfaction and consequently their revenues, largely depend on the quality of service (QoS) provided by wireless network providers (WNPs) available at a particular location-time to support a mobile service delivery. This chapter presents a novel method for the MoSP’s QoS-assurance business process. The method incorporates a location- and time-based QoS-predictions’ service, facilitating the WNP’s selection. We explore different business cases for the service deployment. Particularly, we introduce and analyze business viability of QoSIS.net, an enterprise that can provide the QoS-predictions service to MoSPs, Mobile Network Operators (as MoSPs), or directly to their customers (i.e. in B2B/B2C settings). QoSIS.net provides its service based on collaborative-sharing of QoS-information by its users. We argue that this service can improve the MoSP’s QoS-assurance process and consequently may increase its revenues, while creating revenues for QoSIS.net.

AB - Mobile service providers (MoSPs) emerge, driven by the ubiquitous availability of mobile devices and wireless communication infrastructures. MoSPs’ customers satisfaction and consequently their revenues, largely depend on the quality of service (QoS) provided by wireless network providers (WNPs) available at a particular location-time to support a mobile service delivery. This chapter presents a novel method for the MoSP’s QoS-assurance business process. The method incorporates a location- and time-based QoS-predictions’ service, facilitating the WNP’s selection. We explore different business cases for the service deployment. Particularly, we introduce and analyze business viability of QoSIS.net, an enterprise that can provide the QoS-predictions service to MoSPs, Mobile Network Operators (as MoSPs), or directly to their customers (i.e. in B2B/B2C settings). QoSIS.net provides its service based on collaborative-sharing of QoS-information by its users. We argue that this service can improve the MoSP’s QoS-assurance process and consequently may increase its revenues, while creating revenues for QoSIS.net.

KW - IR-68143

KW - EWI-16126

KW - METIS-264056

M3 - Chapter

SN - 978-1-60566-366-1

T3 - Advanced E-Business Methods

SP - 60

EP - 81

BT - Mobile and Ubiquitous Commerce

A2 - Head, M.

A2 - Li, Eldon

PB - Information Science Reference

CY - UK

ER -